The setting
offers , an add-on for testing versions of a web page and showing different messages to different audiences. Marketers and website teams use it to see which versions perform better.
AI-referred visits are becoming a usable audience before their meaning is settled.
Marketers want to tailor experiences for AI-referred visitors, while experiment results need an audience definition they can inspect.
Who you’d be doing this for
“My leadership keeps asking what AI referrals do after they land, and I’m still stitching it together outside the experiment.”
Carolina Lopez · Marketing Manager · a character in this brief
Runs conversion experiments for a customer-facing website and is accountable for turning new acquisition traffic into qualified demand.
What is at stake
Marketing managers cannot inspect AI-referred visitors inside an experiment, so they export and second-guess results. You must weigh a useful audience workflow against measurement claims the underlying signals cannot support.
Why it isn’t already fixed
Every obvious fix costs something else. That’s the part you’d have to decide.
- targeting relevance vs. measurement confidence
- serving latency vs. audience richness
- customer clarity vs. signal uncertainty
- early learning vs. reusable architecture
Why Webflow
Webflow Optimize already measures visitor behavior and serves experiments, making audience definition part of the conversion decision itself.
Written with these in mind
Not your kind of problem? 36 more at Webflow, or browse every organization.
Where the organization context comes fromThe postings this brief was written from, and the reporting read before it.
The organization context comes from public information. The situation and characters are written for the brief.
Job postings it was written from
Public descriptions of the work at Webflow. They are listed as sources, not as openings. The lines under a posting are its own words, where it meets this brief.
- Senior Staff Software Engineer · no longer posted
- Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones.
- Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust.
- Staff Software Engineer, Convert · no longer posted
- You'll partner directly with senior leaders across Engineering, Product, and Design to turn that vision into something you can actually ship.
- Senior Software Engineer, Site Discovery & Localization · no longer posted
- We’re looking for a Senior Software Engineer to help us build the next generation of intelligent content experiences — empowering creators to grow their audiences and reach new markets directly within Webflow
- You’ll collaborate closely with engineers, designers, and PMs across Compose and Localize to deliver flexible, high-impact features that empower users to understand and grow their audience reach.
- Senior Fullstack Engineer, Analyze Product · no longer posted
Reporting read before this brief was written
The pieces closest to the situation in this brief.
In a PYMNTS Intelligence and Visa Acceptance Solutions survey reported in September 2026, 48% of online shoppers used AI while researching their latest purchase, yet only 23% of merchants can clearly identify both AI-driven traffic and the purchases that follow.
PYMNTS | Merchants Hand AI the Demand and Keep the Price (opens in a new tab) · pymnts.com · Sep 8, 2026
In an October 2026 report, Contentsquare's 2026 benchmarks found AI-referred visits grew 632% year on year but were 0.2% of traffic in Q4, and the report warned that counting AI agent traffic as customers makes conversion rates wrong.
AI Agent Traffic: Contentsquare Splits Agents From Shoppers (opens in a new tab) · cxm.world · Oct 19, 2026
This is the setup. The work is inside.
Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.
Where similar work appears
Other live briefs connected to this one, and what connects them.
Similar problems at other organizations
Like this one, each of these turns on committing to a deal before it checks out.
Growth strategists found overlapping audiences in five of 12 briefs for first-payment campaigns.
You decide whether AI proposes membership directly or proposes criteria for a strategist to approve before the system builds the audience.
Advertisers reach ROAS-goal setup without knowing whether their conversion signals can support it.
You must weigh a clear setup path against guidance that stays faithful to the underlying signals.
Opening Soon strategists are drawing different next-test conclusions from the same LinkedIn results.
You must decide what AI recommends, what evidence it cites, and where strategist judgment remains required.
Other problems with a similar purpose
In each of these, as in this one, the aim is using evidence and inquiry to uncover the true problem worth solving before committing craft or budget to an answer.
Customers delay connector activation because they cannot explain likely source and usage impact.
You must weigh a useful planning signal against claims the product cannot reliably support.
Developer teams want evidence that semantic matching improves discovery before they commit implementation capacity.
You have to weigh a repeatable programme against each customer’s need for a credible, representative test.
Twelve fit sessions produced conflicting explanations for the same discomfort reports.
You must weigh a cleaner comfort signal against changing a protocol that needs to stay comparable.
